Engineering Manager (AI)

Location: Cluj-Napoca, Romania; hybrid work with at least three days per week in the local office or onsite with clients.

Company

hirify.global is a global risk, reinsurance, capital, people and investments, and management consulting company serving clients in 130 countries.

What you will do

• Lead and line-manage engineers across multiple cross-functional AI delivery pods, providing coaching, feedback, career development, and retention support.
• Own delivery outcomes, team health, solution quality, and production-ready enterprise delivery across multiple initiatives.
• Partner with Senior Engineers serving as Tech Leads and with QA/Test Engineering, Solution Architecture, and UI/UX teams.
• Provide solution-level architectural input, technical oversight, design reviews, escalation support, and guidance on enterprise-aligned trade-offs.
• Champion security, scalability, reliability, maintainability, testability, code quality, testing, CI/CD, observability, documentation, reuse, and enterprise standards.
• Contribute to AI engineering standards, communities of practice, Agile delivery, applied AI thought leadership, and the translation of enterprise AI strategy into scalable solutions.

Requirements

• Proven experience as an Engineering Manager or in a similar people-management role.
• Experience delivering AI-enabled solutions in enterprise environments, including production systems subject to security, scalability, reliability, and governance requirements.
• Demonstrated success leading and developing engineering teams delivering enterprise-scale software solutions.
• Strong background in modern software engineering and cloud-based architectures.
• Experience overseeing multiple initiatives or teams in parallel and working in Agile, cross-functional enterprise environments.
• Effective communication with technical and non-technical stakeholders, strong problem-solving skills, and a pragmatic, outcome-focused mindset.
• Familiarity with modern full-stack and cloud-based technology stacks, including frontend frameworks, backend services, cloud platforms, data stores, and LLM-based integrations.

Nice to have

• Experience delivering AI-enabled or data-driven solutions, including applied LLM use in production environments.
• Experience with solution architecture and design governance in partnership with architects and platform teams.
• Experience with Agile at scale, Continuous Integration, Continuous Delivery, and Infrastructure as Code.
• Strong understanding of security-driven design and modern application security practices.
• Experience with cloud platforms and DevOps practices supporting reliability and scalability.
• Active contribution to engineering communities, shared standards, or cross-team initiatives.

Culture & Benefits

• Hybrid work with flexibility to work remotely and collaborate in the office; colleagues are expected to work from their local office or onsite with clients at least three days per week.
• Office-based teams identify at least one weekly anchor day for in-person collaboration.
• Collaborative, inclusive, diverse, and flexible work environment.
• Professional development and growth opportunities.
• Competitive compensation and benefits aligned with local market practices.